Who watches the watchers? LLM on LLM evaluations
stackoverflow.blog·1d
📏Code Metrics
Leveraging the Zeigarnik Effect
theolouvel.com·1d·
Discuss: Hacker News
Minimalism
We Benchmarked DuckDB, SQLite, and Pandas on 1M Rows: Here’s What Happened
kdnuggets.com·23h
💾SQLite
LoRA Explained: Faster, More Efficient Fine-Tuning with Docker
docker.com·2d
💻Local LLMs
The UK's antitrust regulator will keep a closer eye on Google Search
engadget.com·1d
📈Search Quality
Paper2Agent: Research Papers as Interactive AI Agents
huggingface.co·21h·
Discuss: Hacker News
🤖AI Curation
TRIM: Token-wise Attention-Derived Saliency for Data-Efficient Instruction Tuning
arxiv.org·2d
🔨Compilers
Grouped Differential Attention
arxiv.org·2d
Information Bottleneck
Homomorphism Problems in Graph Databases and Automatic Structures
arxiv.org·1d
🔗Graph Isomorphism
**Hyperdimensional Semantic Graph Fusion for Enhanced Knowledge Extraction & Reasoning**
dev.to·4d·
Discuss: DEV
🧮Kolmogorov Complexity
Title: Boost Your Search Results with Google's Preferred Sources Feature
dev.to·5d·
Discuss: DEV
🎯Content Recommendation
Building a Streaming Data Pipeline with Kafka and Spark: Real-Time Analytics Implementation Guide
dev.to·1d·
Discuss: DEV
🌊Apache Kafka
Nearest Neighbor CCP-Based Molecular Sequence Analysis
arxiv.org·1d
🔄Burrows-Wheeler
LightReasoner: Can Small Language Models Teach Large Language Models Reasoning?
arxiv.org·1d
🔗Parser Combinators
From RNNs to ChatGPT: The Paper That Changed How AI Thinks 🤖
dev.to·20h·
Discuss: DEV
🎧Learned Audio
Climate Knowledge in Large Language Models
arxiv.org·1d
🧮Kolmogorov Complexity
Moloch's Bargain: Emergent Misalignment When LLMs Compete for Audiences
arxiv.org·3d·
📊Feed Optimization
**The Power of Noisy Data: Boosting ML Model Robustness** W
dev.to·1d·
Discuss: DEV
🎵Audio ML
Revisiting Mixout: An Overlooked Path to Robust Finetuning
arxiv.org·2d
🧠Learned Codecs